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Titel:

Energy Management Strategy in 12-Volt Electrical System Based on Deep Reinforcement Learning

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Tan, Ö.; Jerouschek, D.; Kennel, R.; Taskiran
Abstract:
The increasing electrification in motor vehicles in recent decades can be attributed to higher comfort and safety demands. Strong steering and braking maneuvers reduce the vehicle’s electrical system voltage, which causes the vehicle electrical system voltage to drop below a critical voltage level. A sophisticated electrical energy management system (EEMS) is needed to coordinate the power flows within a 12-volt electrical system. To prevent the voltage supply from being insufficient for safety-...     »
Zeitschriftentitel:
Vehicles
Jahr:
2022
Jahr / Monat:
2022-06
Quartal:
2. Quartal
Monat:
Jun
Heft / Issue:
Vehicles 4, no. 2
Seitenangaben Beitrag:
621-638
Reviewed:
ja
Sprache:
en
WWW:
Energy Management Strategy in 12-Volt Electrical System Based on Deep Reinforcement Learning
Verlag / Institution:
MDPI
Publikationsdatum:
20.06.2022
Semester:
SS 22
TUM Einrichtung:
Lehrstuhl für Hochleistungs-Umrichtersysteme
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